voicecs-en-ar
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 5
Training results
Framework versions
- Transformers 5.10.2
- Pytorch 2.12.0
- Datasets 5.0.0
- Tokenizers 0.22.2
- Downloads last month
- 517
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for meshari1415/voicecs-en-ar
Base model
Helsinki-NLP/opus-mt-en-ar